Ma-Lab-Berkeley / deep-representation-learning-bookLinks
Learning Deep Representations of Data Distributions
☆470Updated last week
Alternatives and similar repositories for deep-representation-learning-book
Users that are interested in deep-representation-learning-book are comparing it to the libraries listed below
Sorting:
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆400Updated 5 months ago
- ☆439Updated last month
- Machine Learning with Symbolic Tensors☆344Updated 4 months ago
- Dion optimizer algorithm☆361Updated last week
- Deep Learning, an Energy Approach☆215Updated 4 months ago
- ☆258Updated last month
- ☆508Updated 2 months ago
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆650Updated this week
- Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"☆535Updated this week
- Minimal and annotated implementations of key ideas from modern deep learning research.☆1,148Updated 2 weeks ago
- Best practices & guides on how to write distributed pytorch training code☆494Updated this week
- Simple and readable code for training and sampling from diffusion models☆624Updated 3 months ago
- ⏰ AI conference deadline countdowns☆283Updated 2 weeks ago
- PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning☆524Updated 2 weeks ago
- Textbook on reinforcement learning from human feedback☆1,259Updated last week
- Code for the book "The Elements of Differentiable Programming".☆269Updated 3 months ago
- ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution☆519Updated 2 weeks ago
- ☆42Updated 9 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆293Updated 2 months ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆231Updated last month
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆542Updated 3 months ago
- <Foundations of Computer Vision> Book☆340Updated 2 weeks ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆147Updated last week
- ☆373Updated 9 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆126Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆420Updated 7 months ago
- Interactive visualizations of the geometric intuition behind diffusion models.☆825Updated 3 months ago
- Open-source framework for the research and development of foundation models.☆481Updated this week
- Official Github for Wharton STAT 4830☆44Updated 4 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆641Updated this week