🧠 Train a 64M-parameter LLM from scratch in just 2h!
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TranslatedA visual no-code/code-free web crawler/spider. 易采集 (EasySpider, "easy collection"): a visual browser automation testing/data collection/web crawler software that lets you design and execute crawler tasks graphically without code. Alias: ServiceWrapper, an intelligent service wrapping system for Web applications.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Elegant HTTP Networking in Swift
- networking
- urlsession
- urlrequest
- httpurlresponse
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
- adapter
- diffusion
- llm
- parameter-efficient-learning
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
- attention
- pytorch
- paper
- cbam
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
- avx2
- c99
- cpu-inference
- deep-learning
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Type-safe search params state manager for React frameworks - Like useState, but stored in the URL query string.
- url-state
- react
- type-safe
- type-safety
Fast and Accurate ML in 3 Lines of Code
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
- cloud-computing
- deep-learning
- gpu
- hyperparameter-tuning
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- machine-learning
- python
- data-science
- automl
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
Distributed Asynchronous Hyperparameter Optimization in Python
- hacktoberfest
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
- localllm
A Flexible and Powerful Parameter Server for large-scale machine learning
- machine-learning
- parameter-server
- spark
- scala
📚 Parameterize, execute, and analyze notebooks
- jupyter
- notebooks
- notebook-generator
- nteract
HTTP parameter discovery suite.
- api-testing
- api-fuzzer
- api-fuzzing
- recon
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
- anomaly-localization
- anomaly-segmentation
- anomaly-detection
- unsupervised-learning