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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

c-lang

Implementation of All ▲lgorithms in C Programming Language

cleanba

CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

customai-studio

data_analysis

practice data analysis from multiple topic. Some in ML some in just data only.

deep-learning-course-repo

Learning deep learning

deep_learning_curriculum

Language model alignment-focused deep learning curriculum

dspy

DSPy: The framework for programming—not prompting—foundation models

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

hipify

HIPIFY: Convert CUDA to Portable C++ Code

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

llama2.c

Inference Llama 2 in one file of pure C

llms-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

oxen-release

Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.

rails

Ruby on Rails

resource-stream

CUDA related news and material links

roadmap-to-learn-generative-ai-in-2024

snntorch

Deep and online learning with spiking neural networks in Python

the-grand-complete-data-science-materials

tidytuesday

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

transformer-from-scratch-notes

Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-tutorial

Welcome to my Transformers tutorial series! In this series, I'll be diving into the powerful Transformer architecture and its implementation in TensorFlow and PyTorch. Whether you're an experienced NLP practitioner or just starting out, I hope you'll find the series informative and engaging.

vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations