Implement Transformers (and Deep Learning) from scratch in NumPy
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Oct 3, 2023 - Python
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ml-framework
Here are 21 public repositories matching this topic...
A tiny deep neural network framework developed from scratch in C++ and CUDA.
machine-learning neural-network cpp cpp17 machine-learning-from-scratch ml-framework machine-learning-framework
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Feb 18, 2021 - C++
A deep exploration of loyalty as a multi-dimensional behavioral system shaped by intent, habit, and sensitivity. This article introduces a geometric framework for modeling customer behavior, predicting churn trajectories, and designing ML systems that understand loyalty as a dynamic state, not a metric.
business-intelligence predictive-modeling churn-prediction customer-behavior latent-variables customer-analytics behavioral-economics ml-framework decision-intelligence behavioral-science dynamic-modeling customer-intelligence ml-system-design retention-analytics ml-interpretability loyalty-modeling multi-dimensional-ml data-science-philosophy temporal-behavior behavioral-geometry
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Dec 8, 2025
A template for every machine learning project
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Apr 11, 2020 - Python
A modular, accelerator-ready machine learning framework built in Go that speaks float8/16/32/64. Designed with clean architecture, strong typing, and native concurrency for scalable, production-ready AI systems. Ideal for engineers who value simplicity, speed, and maintainability.
go golang machine-learning deep-learning neural-network transformer fp16 autodiff distributed-training float16 onnx graph-ml ml-framework fp8 float8
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Nov 11, 2025 - Go
ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code. Build production-ready ML workflows in minutes, not hours.
python workflow data-science machine-learning automation library framework ai pipeline toolkit scikit-learn python3 xgboost production-ready beginner-friendly data-processing automl model-training mlops ml-framework
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Dec 15, 2025 - Python
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…
nlp twitter-bot machine-learning database deep-learning ml pytorch data-engineering bokeh research-project albert fact-checking umap machine-learning-analysis interpretability disinformation transformer-architecture ml-framework machine-learning-research captum
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Aug 22, 2023 - Python
Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network
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Jan 6, 2026 - Python
Machine Learning 101
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May 5, 2023 - Jupyter Notebook
A machine learning framework with easy-to-use functions from Pytorch in Python.
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Sep 20, 2025 - Python
Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…
nlp twitter-bot machine-learning database deep-learning ml pytorch data-engineering bokeh research-project albert fact-checking umap machine-learning-analysis interpretability disinformation transformer-architecture ml-framework machine-learning-research captum
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Feb 2, 2021 - Jupyter Notebook
Official Repo of OpenArchX Framework.
machine-learning deep-learning model-architecture jax research-library ml-framework optimizers systems-for-ml neural-architecture openarchx efficient-ml tnsa
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Jan 20, 2026 - Python
Official Repo of OpenArchX Framework.
python machine-learning ai deep-learning neural-network libraries gpu numpy cuda transformers ml-framework oax openarchx
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Nov 25, 2025 - Python
A Pythonic approach to object detection using Detectron2, a clean, modular framework for training and deploying computer vision models. DetectX simplifies the complexity of object detection while maintaining high performance and extensibility.
machine-learning computer-vision deep-learning cuda python3 pytorch faster-rcnn object-detection object-recognition retinanet coco-dataset ml-framework detectron2 gpu-accelerated computer-vision-library
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Sep 27, 2025 - Python
Personal ML Journey
machine-learning udacity reinforcement-learning deep-learning mooc tensorflow coursera pytorch edx carnegie-mellon-university online-learning stanford-online ml-framework
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Jul 21, 2019
Advanced regression analysis suite featuring KNN optimization, multi-algorithm comparison, hyperparameter tuning with Optuna, and production-ready ML pipelines with comprehensive model evaluation and visualization.
data-science machine-learning scikit-learn hyperparameter-optimization ensemble-learning predictive-modeling bayesian-optimization knn-regression model-comparison regression-analysis mlops ml-pipeline optuna ml-framework production-ml
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Oct 29, 2025 - Python
Unified AI/ML models repository with support for Gemini, OpenAI, Claude, DeepSeek, HuggingFace, and more. Production-ready implementations with streaming, async support, and comprehensive testing.
python machine-learning async gemini openai streaming-api claude mlops ml-framework ml-ops huggingface ai-models pollinations llm openrouter ai-integration deepseek
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Jan 28, 2026 - Python
DIY ML framework (using only NumPy!) + various demos
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Jun 19, 2025 - Python
Hybrid Reasoning Policy Optimization (HRPO): a research prototype for hybrid latent reasoning with RL.
python machine-learning research reinforcement-learning deep-learning pytorch neural-networks cognitive-architecture deductive-reasoning policy-optimization ml-framework inductive-reasoning ai-reasoning hybrid-reasoning
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Jan 8, 2026 - Python
Python bindings for KortexDL - High-performance C++20 neural network framework with Intel MKL acceleration. Easy-to-use Python API with NumPy compatibility.
python machine-learning deep-learning neural-network numpy python-bindings high-performance-computing python-machine-learning pybind11 inference-engine ml-framework ai-inference cpu-optimization intel-mkl
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Jan 30, 2026 - Jupyter Notebook
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