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Albertchamberlain
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A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Getting started with TensorRT-LLM using BLOOM as a case study
24/7 local AI screen & mic recording. Build AI apps that have the full context. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust.
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
A high-throughput and memory-efficient inference and serving engine for LLMs
high performance tokenizer for Vietnamese language
Create beautiful diagrams just by typing notation in plain text.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
Official implementations for paper: Zero-shot Image Editing with Reference Imitation
[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
Using Groq or OpenAI or Ollama to create o1-like reasoning chains
Real-time face swap for PC streaming or video calls
Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
A smoother activation function (undergrad code)
A simple tool for extracting files from iOS backup archive.
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers
We write your reusable computer vision tools. 💜
Optimized implementation for color-icon-matrix barcodes
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
