- San Francisco Bay Area
-
13:16
(UTC -08:00) - https://www.breakds.org
Highlights
- Pro
Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
This repository contains implementations and illustrative code to accompany DeepMind publications
High-Resolution Image Synthesis with Latent Diffusion Models
FinRL®: Financial Reinforcement Learning. 🔥
PyTorch code and models for the DINOv2 self-supervised learning method.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Image restoration with neural networks but without learning.
Official Code for Stable Cascade
The 3rd edition of course.fast.ai
Solve puzzles. Improve your pytorch.
Massively parallel rigidbody physics simulation on accelerator hardware.
Structured state space sequence models
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Code Repository for The Kaggle Book, Published by Packt Publishing
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.
1 million FPS multi-agent driving simulator