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how to optimize some algorithm in cuda.
Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.
Differentiable computations for the signature-PDE-kernel on CPU and GPU.
talipp - incremental technical analysis library for python
Schedule bpftrace programs on your kubernetes cluster using the kubectl
[ASP-DAC 2024] KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing
Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis
A toolkit for time series machine learning and deep learning
Kronos: A Foundation Model for the Language of Financial Markets
Pretrain a time series model from scratch.
Customization of kubernetes YAML configurations
A Python framework to write Kubernetes operators in just a few lines of code
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
The simplest, fastest repository for training/finetuning small-sized VLMs.
Expander, an open-source GKR prover designed for scaling large-scale parallel computing.
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling