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- jerinphilip.github.io
- @jerinphilip_
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
SDK for creating whiteboards and canvas experiences on the web.
C++ Requests: Curl for People, a spiritual port of Python Requests.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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, Dask, Flink and DataFlow
Fast and memory-efficient exact attention
Open-source simulator for autonomous driving research.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
MSVC's implementation of the C++ Standard Library.
OBS Studio - Free and open source software for live streaming and screen recording
Unsupervised text tokenizer for Neural Network-based text generation.
Simple, portable, and self-contained stacktrace library for C++11 and newer
Intermediate Language (IL) for Hardware Accelerator Generators
High-level tools to simplify visualization in Python.
Deep universal probabilistic programming with Python and PyTorch
Accelerating new GitHub Actions workflows
High-performance automatic differentiation of LLVM and MLIR.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A C++ standalone library for machine learning
A very simple framework for state-of-the-art Natural Language Processing (NLP)