asrjy

private-gpt

Interact with your documents using the power of GPT, 100% privately, no data leaks

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

llama2.c

Inference Llama 2 in one file of pure C

mlx

MLX: An array framework for Apple silicon

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

udlbook

Understanding Deep Learning - Simon J.D. Prince

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

stat_rethinking_2023

Statistical Rethinking Course for Jan-Mar 2023

nnom

A higher-level Neural Network library for microcontrollers.

hugo-bearblog

🧸 A Hugo theme based on »Bear Blog«. Free, no-nonsense, super-fast blogging. This theme now includes a dark color scheme to support dark mode 🦉 ⬛️!

tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

onnx2tf

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

teenygrad

If tinygrad wasn't small enough for you...

learning-papers

Landmark Papers in Machine Learning

pretty-jupyter

Creates dynamic html report from jupyter notebook.

reincarnating_rl

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

Gnu-RL

A precocial reinforcement learning solution for HVAC control

OpenStudio_to_EnergyPlusAPI

Python: using OpenStudio Bindings, EnergyPlus API, and matplotlib

open-hinglish-model

Code related to training/fine-tuning Hindi/Hinglish models.

Drumsthesia

Drumsthesia - Rock out on your electronic drum kit!

rllib-fast-serve

Tools and examples to export policies trained with Ray RLlib for lightweight and fast inference

rl_bca

Repo for my RL BCA research code - Deep Q Agent PyTorch models for HVAC Thermostat Control. Uses EnergyPlus simulation and OpenStudio

c-lab-programs

leetcode