JirkaKlimes / jit-implementation

Related projects ⓘ

Alternatives and complementary repositories for jit-implementation

• Pleias / Quest-Best-Tokens
  An introduction to LLM Sampling
  ☆62Updated this week
• Mihaiii / backtrack_sampler
  An easy-to-understand framework for LLM samplers that rewind and revise generated tokens
  ☆105Updated 2 weeks ago
• cognitivecomputations / grokadamw
  ☆116Updated 2 months ago
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆158Updated this week
• LAION-AI / AIW
  Alice in Wonderland code base for experiments and raw experiments data
  ☆108Updated last month
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆84Updated 2 months ago
• neoneye / ARC-Interactive-History-Dataset
  The history files when recording human interaction while solving ARC tasks
  ☆94Updated this week
• doomslide / hyperobject
  ☆94Updated last month
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆172Updated 3 months ago
• Mihaiii / llm_steer
  Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vecto…
  ☆201Updated 6 months ago
• xjdr-alt / llmri
  look how they massacred my boy
  ☆54Updated 3 weeks ago
• sam-paech / antislop-sampler
  ☆223Updated 3 weeks ago
• google-deepmind / treescope
  An interactive HTML pretty-printer for machine learning research in IPython notebooks.
  ☆333Updated last week
• Aleph-Alpha / scaling
  Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…
  ☆46Updated 2 weeks ago
• PrimeIntellect-ai / prime
  prime (previously called ZeroBand) is a framework for efficient, globally distributed training of AI models over the internet.
  ☆207Updated this week
• FlorianDietz / comgra
  A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different…
  ☆270Updated 2 weeks ago
• KellerJordan / Muon
  Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead
  ☆69Updated this week
• neurallambda / neurallambda
  Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.
  ☆233Updated last week
• epistoteles / TensorHue
  TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor conte…
  ☆106Updated last month
• jxmorris12 / cde
  code for training & evaluating Contextual Document Embedding models
  ☆93Updated this week
• google-deepmind / mishax
  ☆100Updated 3 months ago
• nivibilla / build-nanogpt
  Video+code lecture on building nanoGPT from scratch
  ☆64Updated 4 months ago
• Algomancer / The-Daily-Train
  Training Models Daily
  ☆17Updated 10 months ago
• unslothai / unsloth-studio
  Unsloth Studio
  ☆29Updated last week
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆104Updated last month
• SinatrasC / entropix-smollm
  smolLM with Entropix sampler on pytorch
  ☆137Updated last week
• JD-P / minihf
  MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user…
  ☆151Updated this week
• valine / NeuralFlow
  Visualize the intermediate output of Mistral 7B
  ☆312Updated 8 months ago
• mag- / gpu_benchmark
  Gpu benchmark
  ☆43Updated last month
• hide-org / hide
  🤖 Headless IDE for AI agents
  ☆129Updated this week