awesome-ChatGPT-repositories
Section: Others · Plug and play modules to optimize the performances of your AI systems 🚀
FreshScore 87
Entry
Nebullvm
Appears in 5 awesome lists
Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. [DEEP LEARNING]
Open github.comnebuly-ai/nebullvm
Found in these lists
Awesome Deep Learning
Section: Tools · Easy-to-use library to boost deep learning inference leveraging multiple deep learning compilers.
SlowScore 59
Awesome Machine Learning
Section: C++ · Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. [DEEP LEARNING]
FreshScore 93
Awesome MLOps
Section: Optimization Tools · Easy-to-use library to boost AI inference.
FreshScore 80
Awesome TensorFlow
Section: Tools/Utilities · Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware.
SlowScore 72
Often listed next to it
Netron
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
In 15 listsDetails
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
XGBoost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]
In 11 listsDetails
Whisper
Whisper is a general-purpose speech recognition model that can be run locally offline. It can transcribe audio from and to multiple languages.
In 11 listsDetails
CatBoost
General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
In 10 listsDetails
Caffe
is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
In 10 listsDetails
ML Workspace
All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
In 10 listsDetails