Model Training for beginner learners
59 resources · page 2 of 2
NVIDIA Dynamo
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ai-dynamo Dynamo GitHub repo: NVIDIA's datacenter-scale distributed, disaggregated inference serving framework.
NVIDIA NeMo Speech
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NVIDIA NeMo Speech GitHub repo: framework for speech recognition and TTS model training and inference.
NVIDIA/TensorRT-LLM
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NVIDIA TensorRT-LLM GitHub repo: Python API and kernels for optimised LLM inference on NVIDIA GPUs.
NVIDIA VerilogEval
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NVIDIA VerilogEval GitHub repo: benchmark for evaluating LLMs on generating Verilog hardware-description code.
Ollama
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Ollama GitHub repo: runtime for running open LLMs locally, with API and cloud options.
OLMo training and inference
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Ai2 OLMo GitHub repo: modelling, training, evaluation and inference code for OLMo open language models.
OpenROAD
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OpenROAD GitHub repo: open RTL-to-GDS chip design flow, also used in ML-for-EDA research.
SageAttention
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Tsinghua SageAttention GitHub repo: quantised low-bit attention kernels for faster inference.
onediff
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SiliconFlow onediff GitHub repo: acceleration library for diffusion model inference.
Tenstorrent
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Tenstorrent: company building RISC-V based AI accelerators and computers.
ThunderKittens
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HazyResearch ThunderKittens GitHub repo: tile primitives framework for writing fast GPU kernels.
TileKernels
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DeepSeek TileKernels GitHub repo: library of GPU kernels written in TileLang.
Together cookbook
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Together cookbook GitHub repo: notebooks with recipes for building with Together AI models.
torchtitan
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PyTorch torchtitan GitHub repo: PyTorch-native platform for large-scale generative model pretraining.
fairseq: NLLB branch
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Meta fairseq nllb branch on GitHub: code for the No Language Left Behind translation models.
Triton-distributed
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ByteDance Seed Triton-distributed GitHub repo: distributed compiler and parallel kernels overlapping compute and communication.
TurboDiffusion (thu-ml)
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Tsinghua TurboDiffusion GitHub repo: acceleration framework for video diffusion models.
Alibaba Cloud Model Studio: Prompt engineering guide
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Alibaba Cloud Model Studio prompt engineering guide in Chinese with techniques for designing and optimising prompts.
Cloud.ru Foundation Models documentation
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Cloud.ru Foundation Models documentation: Sber subsidiary's unified API for hosted language models (in Russian).
fal Docs (fal.ai/docs)
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fal documentation for deploying and calling generative media models on fal's serving platform.
GPU Puzzles (Sasha Rush)
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Sasha Rush's GPU Puzzles GitHub repo: interactive notebook exercises for learning CUDA programming.
GroqDocs: Prompt Basics
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Groq prompting guide covering roles, instructions, context, input and output formats, and sampling parameters.
LM Studio docs
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LM Studio app documentation: running Llama, DeepSeek, Qwen and other LLMs locally on a desktop.
GPU Glossary (Modal)
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Modal GPU Glossary: reference explaining GPU hardware and software terms from CUDA cores to memory hierarchy.
GigaChat docs: Prompt engineering basics
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Sber GigaChat prompt engineering basics in Russian: how to write effective prompts for GigaChat.
SiliconFlow docs: Platform introduction
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SiliconFlow platform introduction in Chinese: inference service offering API access to many open models.
Volcano Engine Ark (方舟) docs
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Volcano Engine Ark documentation entry: ByteDance's model platform docs, redirecting to docs.volcengine.com.