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pytorch reimplementation of qt paper
personal blog
Fine-tune Segment-Anything Model with Lightning Fabric.
PyTorch native quantization and sparsity for training and inference
PyTorch native post-training library
Train transformer language models with reinforcement learning.
Repositories
53PyTorch native quantization and sparsity for training and inference
PyTorch native post-training library
Train transformer language models with reinforcement learning.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Sentence Embeddings with BERT & XLNet
Sentiment Analysis LSTM Model written in tensorflow
A high-throughput and memory-efficient inference and serving engine for LLMs
End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).
personal blog
Fine-tune Segment-Anything Model with Lightning Fabric.
Material for cuda-mode lectures
Continuous builder and binary build scripts for pytorch
add 2:4 sparsity to gpt-fast
CUDA Library Samples
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Adapting SparseGPT to work with LLaMa and PyTorch semi-structured sparsity
No description provided.
my i3 config, conkyrc, vimrc, and other config files
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.
This program is an automated trading bot that uses TDAmeritrades Thinkorswim trading platform's scanners and alerts systems to place trades dynamically using the TDAmeritrade API.
pytorch reimplementation of qt paper
wip
startup data analysis
SDNet
optimization
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
ICLR 2018 Quick-Thought vectors
No description provided.
math 131
An implementation of BWT in python