Denis Shushin's repositories
01
The open-source language model computer
tldraw
SDK for creating whiteboards and canvas experiences on the web.
open-interpreter
A natural language interface for computers
c-graduate
C examples for graduate course on MIPT
awesome-llm-apps
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
annotated_deep_learning_paper_implementations
🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes đź“ť; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... đź§
anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ggml
Tensor library for machine learning
llama.cpp
LLM inference in C/C++
AI-Math-Notes
Open Source AI Math Notes
Pinecone-Examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
cohere-notebooks
Code examples and jupyter notebooks for the Cohere Platform
mlx
MLX: An array framework for Apple silicon
mlx-examples
Examples in the MLX framework
chat-with-mlx
An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework.
AI-text-to-video-model-from-scratch
In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt.
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
anthropic-courses
Anthropic's educational courses
mlx-gpt2
gpt-2 from scratch in mlx
chatgpt-your-files
Production-ready MVP for securely chatting with your documents using pgvector
ml.school
Machine Learning School
fastbook
The fastai book, published as Jupyter Notebooks
machine-learning-list
A curriculum for learning about foundation models, from scratch to the frontier
Tsunami
pipeline to auto (scrape => clean => analyze => chat with) tons of data
zero_to_gpt
Go from no deep learning knowledge to implementing GPT.
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing