Safely pass trusted data to untrusted environments and back.
- python
- security
- hmac
- serialization
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Safely pass trusted data to untrusted environments and back.
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
a delightful machine learning tool that allows you to train, test, and use models without writing code
Code for running RFdiffusion
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
Visualize and compare datasets, target values and associations, with one line of code.
A fast and simple implementation of learning algorithms for robotics.
Starlark Language
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
Machine learning glossary
Simple OSINT script to find Instagram profiles by name and e-mail/phone
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
The official repository for tariff
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7.
TensorFlow (Python API) implementation of Neural Style
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
Implementation for MatMul-free LM.