dependencies

dependencies

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huggingface/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
huggingface/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! - huggingface/transformers.js
NPMNPM#github#repositories#dependencies#NPM#AI/ML#huggingface#transformer
·github.com·
huggingface/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
skypilot-org/skypilot: SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
skypilot-org/skypilot: SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface. - skypilot-org/skypilot
pippip#github#repositories#dependencies#pip#python#AI/ML#infrastructures#data#science#deep#learning#cloud
·github.com·
skypilot-org/skypilot: SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
hybridgroup/gocv: Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
hybridgroup/gocv: Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO. - hybridgroup/gocv
pkg.gopkg.go#github#repositories#dependencies#golang#pkg#openCV#DNN#CUDA#computer#vision#tensorflow#AI/ML
·github.com·
hybridgroup/gocv: Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
meta-llama/llama-recipes: Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
meta-llama/llama-recipes: Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and...
pippip#github#repositories#dependencies#pip#python#llama#script#FSDP#PEFT#fine-tuning#langChain#LLM
·github.com·
meta-llama/llama-recipes: Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
tracel-ai/burn: Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
tracel-ai/burn: Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. - tracel-ai/burn
cratescrates#github#repositories#dependencies#crates#AI/ML#deep#learning#frameworks#neural#networks#wasm#LLM#pytorch#tensorflow
·github.com·
tracel-ai/burn: Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
bigscience-workshop/petals: 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
bigscience-workshop/petals: 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading - bigscience-workshop/petals
pippip#github#repositories#dependencies#pip#LLM#llama#mixtral#falcon#bloom#chatbot#neural#networks#deep#learning#AI/ML
·github.com·
bigscience-workshop/petals: 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading