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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A guidance language for controlling large language models.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Companion webpage to the book "Mathematics For Machine Learning"
QLoRA: Efficient Finetuning of Quantized LLMs
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A computer science textbook
Solve puzzles. Improve your pytorch.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
Structured state space sequence models
Handout for the tutorial "Creating publication-quality figures with matplotlib"
机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
EPFL Course - Optimization for Machine Learning - CS-439
Self-study on Larry Wasserman's "All of Statistics"
What would you do with 1000 H100s...
Bridging LLM and Recommender System.
Train a 1B LLM with 1T tokens from scratch by personal
Generative Representational Instruction Tuning
On the Theoretical Limitations of Embedding-Based Retrieval
Llama from scratch, or How to implement a paper without crying
聪明方法学Python，简明且系统的 Python 入门教程。
PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning