Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
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streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
- captioning
- fine-tuning
- florence-2
- multimodal
Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
- fine-tuning-llm
- large-language-models
- long-context
- llm
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
- deep-learning
- fine-tuning
- gpt-2
- gpt-j
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Awesome Reasoning LLM Tutorial/Survey/Guide
- fine
- large-language-models
- post-training
- reasoning
Python debugging, redefined.
- python
- debugging
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
- finetune
- stable-diffusion
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
- deep-learning
- flax
- jax
- language-model
The Python ensemble sampling toolkit for affine-invariant MCMC
- python
- mcmc
- mcmc-sampler
- probabilistic-data-analysis
WeeWX code repository
- weather
- python
- weewx
- raspberry-pi
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
- 3d-generation
- image-to-3d
- geometry-refinement
- sparc3d
Funky takes shell functions to the next level by making them easier to define, more flexible, and more interactive.
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Compile organizational policy into verifiable decision training data.
- ai-agents
- data-provenance
- decision-data
- fine-tuning
Agent Skill for fine-tuning an agentic model on your own Claude Code sessions with Tinker. Works in Claude Code, Codex and OpenCode.
Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker
Phantom types for Python.
- phantom-types
- static-analysis
- mypy
- python
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)
- humanoid
- robot-learning
- supermimic
- world-model
project on fine-tuning qwen to generate text w/o letter 'e'
Mock an SSH server and define all commands it supports (Python, Twisted)
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
- aloha
- flow-matching
- icra2026
- jax